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Increasing the accuracy of estimated porosity and saturation for gas hydrate reservoir by integrating geostatistical inversion and lithofacies constraints
Wang, Xiujuan1,2,3,4,5; Liu, Bo1,2,5; Jin, Jiapeng1,2,5; Lu, Jingan6; Zhou, Jilin1,2,5; Qian, Jin1,2,3,4; Wu, Nengyou3,7
2020-05-01
发表期刊MARINE AND PETROLEUM GEOLOGY
ISSN0264-8172
卷号115页码:11
通讯作者Wang, Xiujuan(wangxiujuan@qdio.ac.cn)
摘要Porosity, saturation, thickness of gas hydrate-bearing layers and their spatial distributions are key factors for production tests. The gas hydrate-bearing layers ranging from a few to tens of meters thickness are confirmed by Logging While Drilling (LWD) data and core samples at Sites W11 and SC-03, in the Shenhu area, South China Sea. Gas hydrate-bearing layers of two wells (about 200 m) show that not all layers exhibit good lateral continuity. Several thin layers (similar to 4 m) with low gas hydrate saturations (15-20% of the pore space) or non-gas hydrate are laterally discontinuous. The interbedding of gas hydrate-bearing and non-hydrate layers with different saturations, thickness and random distribution cause the heterogeneities in the reservoir. The gas hydrate saturation and distribution inverted from deterministic and traditional geostatistical inversion have high uncertainties due to the limitations of the empirical relationship and probability density functions (PDFs). A better understanding of spatial distribution and saturation for each gas hydrate layer is useful to build a realistic net hydrate pay and resource estimation. In this study, we first divide gas hydrate saturations, porosity, acoustic impedance into low and high values based on the estimated LWD results, which is call as lithofacies. Then, we propose to create multivariate PDFs by lithofacies constraints. The acoustic impedance, saturation, thickness, porosity of gas hydrate-bearing layers and non-gas hydrate layers are inverted by displaying geostatistical inversion with lithofacies constraint. We found the spatial variations and heterogeneous distributions with a thickness ranging from 4 to 35 m and the laminated gas hydrate layers with saturations ranging from 10% to 40% are clearly shown from seismic data, which are useful for the horizontal well development method of a hydrate production test.
关键词Gas hydrate Heterogeneous distribution Geostatistical inversion Lithofacies Production test
DOI10.1016/j.marpetgeo.2020.104298
收录类别SCI
语种英语
资助项目National Key R&D Program of China[2017YFC0307601] ; National Natural Science Foundation of China[41676041] ; National Natural Science Foundation of China[41976077]
WOS研究方向Geology
WOS类目Geosciences, Multidisciplinary
WOS记录号WOS:000519654400031
出版者ELSEVIER SCI LTD
引用统计
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/165838
专题海洋地质与环境重点实验室
通讯作者Wang, Xiujuan
作者单位1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
3.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266071, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.MNR, Guangzhou Marine Geol Survey, Guangzhou 510760, Peoples R China
7.MNR, Lab Gas Hydrate, Qingdao Inst Marine Geol, Qingdao 266071, Peoples R China
第一作者单位中国科学院海洋研究所;  中国科学院海洋大科学研究中心
通讯作者单位中国科学院海洋研究所;  中国科学院海洋大科学研究中心
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Wang, Xiujuan,Liu, Bo,Jin, Jiapeng,et al. Increasing the accuracy of estimated porosity and saturation for gas hydrate reservoir by integrating geostatistical inversion and lithofacies constraints[J]. MARINE AND PETROLEUM GEOLOGY,2020,115:11.
APA Wang, Xiujuan.,Liu, Bo.,Jin, Jiapeng.,Lu, Jingan.,Zhou, Jilin.,...&Wu, Nengyou.(2020).Increasing the accuracy of estimated porosity and saturation for gas hydrate reservoir by integrating geostatistical inversion and lithofacies constraints.MARINE AND PETROLEUM GEOLOGY,115,11.
MLA Wang, Xiujuan,et al."Increasing the accuracy of estimated porosity and saturation for gas hydrate reservoir by integrating geostatistical inversion and lithofacies constraints".MARINE AND PETROLEUM GEOLOGY 115(2020):11.
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